Research Officer (Large Language Models & Data Engineering), A*STAR BII
A*STAR RESEARCH ENTITIES
Singapore
**
Llm fine-tuning with peft/lora
Python and pytorch proficiency
Nlp and transformer-based models
**
A*STAR is seeking a Research Officer to develop AI-powered Large Language Models (LLMs) aimed at improving the management of lower respiratory tract infections (LRTIs) in Singapore. The ideal candidate will have a strong background in Natural Language Processing (NLP) and experience with LLM fine-tuning, contributing to innovative healthcare solutions.
**
Job Summary
The team is building an AI-powered platform to help clinicians identify cases of lower respiratory tract infections that do not require antibiotics.
You will be responsible for fine-tuning open-weight LLMs like LLaMA and Mistral using supervised datasets and instruction-based training.
The role offers access to high-performance GPU infrastructure, mentorship, and opportunities for publication and conference presentations.
Matching Summary
Match Score: 75
**
A*STAR is seeking a Research Officer to develop AI-powered Large Language Models (LLMs) aimed at improving the management of lower respiratory tract infections (LRTIs) in Singapore. The ideal candidate will have a strong background in Natural Language Processing (NLP) and experience with LLM fine-tuning, contributing to innovative healthcare solutions.
**
Skills & Requirements
Must-have
LLM fine-tuning with PEFT/LoRA
Python and PyTorch proficiency
NLP and transformer-based models
RAG pipeline integration
GPU cluster optimization
Nice-to-have
Biomedical domain adaptation experience
Multi-agent framework knowledge
Cloud computing familiarity
Prompt engineering skills
Publication record in AI research
Key Requirements
Master or Bachelor degree in Computer Science or related field
Strong experience in Natural Language Processing
Proficiency with Hugging Face and Transformers libraries